Cannabinoids in the Management of Musculoskeletal Pain
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
* The purposes of the present scoping review were to identify (1) the available studies regarding the efficacy of cannabinoids for the management of musculoskeletal pain and related conditions and (2) the knowledge gaps and opportunities in this area of research. * There is little high-quality evidence for medical cannabis in the core orthopaedic areas of arthritis, postoperative pain, back pain, and trauma-related pain. * The “best available” evidence suggests cannabis can be effective for managing arthritis pain, back pain, and trauma-related pain, although the quality of the evidence is poor. * Evidence regarding the use of cannabinoids for the management of postoperative pain is mixed. * Research on pain control in patients with arthritis, conditions related to the spine, and traumatic injuries represents major under-represented areas of study for the role of cannabinoids, and high-quality Level-I studies are needed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it